Stop Over-Engineering: Choosing the Right Deployment Stack for AI Apps

Many AI teams adopt Kubernetes prematurely, leading to unnecessary infrastructure complexity that distracts from core model development. As AI applications introduce unique demands like GPU scaling and model serving, developers must prioritize practical infrastructure needs over industry-standard complexity to ensure faster production cycles.